Transformer-based models for chemical SMILES representation: A comprehensive literature review
ME Mswahili, YS Jeong - Heliyon, 2024 - cell.com
Pre-trained chemical language models (CLMs) have attracted increasing attention within the
domains of cheminformatics and bioinformatics, inspired by their remarkable success in the …
domains of cheminformatics and bioinformatics, inspired by their remarkable success in the …
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
The integration of biomolecular modeling with natural language (BL) has emerged as a
promising interdisciplinary area at the intersection of artificial intelligence, chemistry and …
promising interdisciplinary area at the intersection of artificial intelligence, chemistry and …
Validation guidelines for drug-target prediction methods
Introduction Mapping the interactions between pharmaceutical compounds and their
molecular targets is a fundamental aspect of drug discovery and repurposing. Drug-target …
molecular targets is a fundamental aspect of drug discovery and repurposing. Drug-target …
[HTML][HTML] Large language models and their applications in bioinformatics
Abstract Recent advancements in Natural Language Processing (NLP) have been
significantly driven by the development of Large Language Models (LLMs), representing a …
significantly driven by the development of Large Language Models (LLMs), representing a …
Can Large Language Models Create New Knowledge for Spatial Reasoning Tasks?
T Greatrix, R Whitaker, L Turner, W Colombo - arXiv preprint arXiv …, 2024 - arxiv.org
The potential for Large Language Models (LLMs) to generate new information offers a
potential step change for research and innovation. This is challenging to assert as it can be …
potential step change for research and innovation. This is challenging to assert as it can be …